- Singapore
Kerja Sepenuh Masa Performance Test Lead, Gaji tinggi SGD 8,800 di TechKnowledgey Pte Ltd - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Role Mission:
Establish scalable performance engineering practices for their business-critical applications and platforms.
Own performance test strategy, workload modelling, execution, analysis, and release recommendations for assigned applications and platforms.
Build in-house capability through vendor transition, technical leadership, mentoring, hiring support, and clear governance.
Responsibilities
Define testable NFRs, SLOs, KPIs, workloads, and acceptance criteria with product, architecture, engineering, and SRE teams. Build production-representative workload and capacity models using traffic patterns, transaction mix, arrival rates, concurrency, growth forecasts, and appropriate open or closed workload models.
Design and execute load, stress, spike, endurance, scalability, and capacity tests using k6, JMeter, Gatling, or equivalent tools.
Build correlation-heavy, data-driven scripts and operate distributed load generation at enterprise scale.
Use APM, metrics, logs, and traces from tools such as AppDynamics, New Relic, Grafana, Prometheus, Splunk, Elastic, or OpenTelemetry to isolate application and platform bottlenecks.
Test cloud and distributed platforms involving containers, Kubernetes, load balancers, databases, caches, queues, and protocols or interaction patterns beyond synchronous HTTP/REST.
Integrate performance tests and thresholds into CI/CD, maintain baselines, track trends, and improve test reliability and execution time.
Lead cross-functional triage, verify fixes, communicate risks to technical and non-technical stakeholders, and provide release sign-off recommendations.
Define standards, review technical work, mentor engineers, support hiring, and transition vendor-owned scripts, frameworks, documentation, and knowledge into the company.
What you’ll bring
Led performance engineering for multiple enterprise-scale releases with measurable improvements in latency, throughput, scalability, stability, or capacity
Defined NFRs and SLOs, built workload and capacity models from production demand, and justified open or closed model selection.
Used at least one major performance tool at real scale, including distributed load generation, complex correlation, dynamic data, and realistic pacing.
Diagnosed critical bottlenecks by correlating test results with APM, infrastructure, database, log, metric, and trace evidence.
Tested cloud-native or distributed systems and explained the performance effects of Kubernetes, autoscaling, load balancing, databases, caches, queues, networks, and dependencies.
Built reusable frameworks and CI/CD quality gates with reliable baselines, trend reporting, and reduced execution or diagnosis time.
Built or improved a performance testing practice, mentored engineers, supported hiring, governed vendors, led triage, and communicated release risk to senior stakeholders.
HackerTrail is an award-winning hr tech and solutions company that is changing the status quo on recruitment. The recruitment industry is ripe with issues and old school ways of doing things, and we're disrupting this industry using our proprietary technology. We are a funded startup with talented team of 20+ people in 2 cities, and have served over 170 clients in 6 cities.
We have two flagship products:
1. Scout: an AI-powered canddate sourcing engine (*************)
2. Litmus: a gamified tech assessment engine (*************)
We also run a recruitment consultancy business which is widely recognized in Singapore as being one of the best in its category. (*************)
This is an opportunity to join a fast-paced company serving top tier clientele in multiple markets. Learn more about our team here: *************
Establish scalable performance engineering practices for their business-critical applications and platforms.
Own performance test strategy, workload modelling, execution, analysis, and release recommendations for assigned applications and platforms.
Build in-house capability through vendor transition, technical leadership, mentoring, hiring support, and clear governance.
Responsibilities
Define testable NFRs, SLOs, KPIs, workloads, and acceptance criteria with product, architecture, engineering, and SRE teams. Build production-representative workload and capacity models using traffic patterns, transaction mix, arrival rates, concurrency, growth forecasts, and appropriate open or closed workload models.
Design and execute load, stress, spike, endurance, scalability, and capacity tests using k6, JMeter, Gatling, or equivalent tools.
Build correlation-heavy, data-driven scripts and operate distributed load generation at enterprise scale.
Use APM, metrics, logs, and traces from tools such as AppDynamics, New Relic, Grafana, Prometheus, Splunk, Elastic, or OpenTelemetry to isolate application and platform bottlenecks.
Test cloud and distributed platforms involving containers, Kubernetes, load balancers, databases, caches, queues, and protocols or interaction patterns beyond synchronous HTTP/REST.
Integrate performance tests and thresholds into CI/CD, maintain baselines, track trends, and improve test reliability and execution time.
Lead cross-functional triage, verify fixes, communicate risks to technical and non-technical stakeholders, and provide release sign-off recommendations.
Define standards, review technical work, mentor engineers, support hiring, and transition vendor-owned scripts, frameworks, documentation, and knowledge into the company.
What you’ll bring
Led performance engineering for multiple enterprise-scale releases with measurable improvements in latency, throughput, scalability, stability, or capacity
Defined NFRs and SLOs, built workload and capacity models from production demand, and justified open or closed model selection.
Used at least one major performance tool at real scale, including distributed load generation, complex correlation, dynamic data, and realistic pacing.
Diagnosed critical bottlenecks by correlating test results with APM, infrastructure, database, log, metric, and trace evidence.
Tested cloud-native or distributed systems and explained the performance effects of Kubernetes, autoscaling, load balancing, databases, caches, queues, networks, and dependencies.
Built reusable frameworks and CI/CD quality gates with reliable baselines, trend reporting, and reduced execution or diagnosis time.
Built or improved a performance testing practice, mentored engineers, supported hiring, governed vendors, led triage, and communicated release risk to senior stakeholders.
HackerTrail is an award-winning hr tech and solutions company that is changing the status quo on recruitment. The recruitment industry is ripe with issues and old school ways of doing things, and we're disrupting this industry using our proprietary technology. We are a funded startup with talented team of 20+ people in 2 cities, and have served over 170 clients in 6 cities.
We have two flagship products:
1. Scout: an AI-powered canddate sourcing engine (*************)
2. Litmus: a gamified tech assessment engine (*************)
We also run a recruitment consultancy business which is widely recognized in Singapore as being one of the best in its category. (*************)
This is an opportunity to join a fast-paced company serving top tier clientele in multiple markets. Learn more about our team here: *************
Peringatan Penting
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